A Case study in Critical Infrastructure Interdependency forecasting

For half a century, supply-chain statistics have played a crucial role in informing government and business about risk. This case study will briefly familiarize the reader with Critical Infrastructure Interdependency (CII) using economic indicators of risk, and proceed to assess the specific effects of nearly concurrent Critical Infrastructure shocks that occurred in Winnipeg, Manitoba, Canada in early 2024: one on the Energy Infrastructure (specifically the pipeline industry) and the other on Water Infrastructure. Comparing the forecast effects to the empirical observations weeks after the shocks demonstrate that CII risk analysis using econometrics.